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spectral characteristic相关的网络例句

查询词典 spectral characteristic

与 spectral characteristic 相关的网络例句 [注:此内容来源于网络,仅供参考]

The influences of the shock thickness and Alfven waves on the particle acceleration by diffusive shock waves are numerically studied through solving one-dimensional diffusive equation including the second-order Fermi effect. It is shown that the spectral index of the energetic particles strongly depends on the shock thickness. For example, the spectral index increases from 2.1 to 3.7 in the low energy range of 3-10 MeV and from 2.5 to 5.0 in the high energy range of 20-60 MeV as the thickness increases. The spectral index decreases from 4.3 to 3.1 as the particle injection energy increases. The spectral index decreases from 4.0 to 1.8 at the quasi-steady stage with the enhancement of the compression ratio from 2 to 4. The results indicate that under the influence of Alfven waves, the energetic particle spectrum at lower energy becomes flat and the spectral index decreases from 2.5 to 0.6 in the low energy range of 3-10 MeV and from 11.6 to 5.0 in the high energy range of 20-60 MeV. At the same time, the rollover energy reaches 19.6 MeV. The spectral index decreases from 5.8 to 2.9 as the energy density of Alfven waves increase. All these results are basically consistent with the theoretical models, as well as the observations of typical energetic particle events.

通过数值求解包含二阶费米加速的一维扩散方程,探讨在准平行激波条件下激波厚度和级联阿尔芬波对粒子加速的影响,研究粒子分布函数的演化与激波厚度和阿尔芬波强度的内禀关系,计算结果表明:(1)考虑激波厚度时,谱指数明显依赖于激波厚度,随着厚度从0.32增大到2.56,低能端(3-10MeV)谱指数逐渐从2.1增加到3.7,高能端(20-60MeV)谱指数从2.4增大到5.0,能谱逐渐变软;当初始注入粒子动量增大1.3倍,质子能谱指数从4.3减小到3.1,且与零厚度激波加速的谱指数差值缩小;厚度不变时,随着压缩比从2增加到4,准稳态分布时低能端(3-10MeV)粒子能谱指数逐渐从4.0减小到1.8谱变硬;(2)在级联阿尔芬波的影响下,随着时间的增大,粒子在低能处(3-10MeV)的谱指数从2.5减小到0.6高能端(20-60MeV)谱指数从11.6减小到5.0,能谱变硬,拐点能量值从7.5MeV增大到为19.6MeV;随着波的能量密度增大,谱指数从5.8减小到2.9,这表明阿尔芬波强度越大,加速效率越高,通过与激波厚度解析结果和高能粒子事件的观测能谱比较发现两者是一致的,说明数值模拟结果是可靠的。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的"同物异谱"现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被"红边"范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的&同物异谱&现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被&红边&范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

In order to obtain infrared spectral radiance distribution of some infrared sources, such as spectral radiant flux density, spectral radiant intensity, spectral radiance and spectral irradiance, the instrument response function under different conditions must be known.

在应用红外发射光谱来获得某些红外源的绝对光谱能量数据,如辐射源光谱辐射通量密度、辐射源光谱辐射强度、辐射源光谱辐射亮度及光谱辐射照度等时,需要得知不同条件下的仪器响应函数。

Hyperspectral remote sensing data has the characteristic of combining both image data and spectral data into one data set, each pixel of a hyperspectral image an entire spectrum (consisting of numerous contiguous, narrow spectral bands) is present. Compared with conventional multi-spectral remote sensing data, hyperspectral remote sensing data can be more useful for the identification and classification of surface Materials. In this paper, the author classified the coastal area using hyperspectral remote sensing data, and further more, succeeded in extraction of sand beach surface information related to bearing capacity characteristic.

高光谱遥感数据具有图像—光谱合一的特点,与传统的多光谱遥感数据相比,能够更好的分类与识别各类地物,本文主要利用高光谱遥感数据,实现海岸带分类,并且在此基础上实现沙滩表面承载特性信息的提取,主要内容分为以下三个部分:第一部分概要介绍了高光谱遥感技术。

In order to represent accurately and concisely the changing characteristics of one-dimensional spectrum density function in the chatter development. This thesis, for the first time, proposes the Edgeworth asymptotic expansion formulas of spectral density. A detailed proof is given. Some new statistic including spectral skewness, spectral kurtosis and spectral cumulants are proposed.

为了准确、简洁地表达一维谱密度函数在切削颤振建立过程中的变化特征,论文首次建立了一维谱密度函数的Edgeworth渐近谱展开式,给出了详细的证明;并由此提出了"谱偏态系数"、"谱峰态系数"和"谱累积量函数"等新的谱统计量。

The spectral imaging technology, with the resolving power both on the space and on the spectral, is the perfect combination of the image analysis and the spectral analysis.The study on the prismatic element is one of the key technologies in the area of the spectral imaging. The acousto-optic tunable filter is a newfashioned prismatic element.

近年来,光谱成像技术在军事侦察、精细农业、生物医学等领域的广泛应用前景引起了愈来愈多研究者的关注。

The present paper focuses on the effect of spectral range on the detected characteristic absorption structure of O3, and the variation of differential cross section of O3 with the change in spectral range and the source of interference in different spectral range.

文章主要研究了在不同光谱波段O3特征吸收结构和差分光学厚度的不同,在不同光谱波段O3浓度反演的干扰来源以及影响程度,确定了实际检测时大气消光对不同波段光强的影响,最后通过对多种污染物标准气体进行了同时监测,计算出标准气体在不同光谱分辨率不同O3浓度时的测量误差,确定了对O3的最适用光谱波段范围。

One is to understand the Spectral Characteristic Curve; the other is to satisfy the conditions of similar analogy, which means that the spectral characteristics are similar between the studied area and the area for collecting standard spectral curve as well as the area for analogizing.

这一领域已有的研究工作主要集中在如下几个方面:①图像处理,包括以增强和提取成矿信息为目的的图像增强、图像变换和图像分类等;②地质解译;③遥感地面模式的研究;④数据融合;⑤遥感生物地球化学研究。

The findings indicated that, the Japonica rice RVA profile characteristic is the concurrently Indica rice nature with the glutinous RVA profile characteristic continuously change body, assumes 5 kind of characteristics class groups, the few idioplasms has the glutinous starch RVA profile characteristic, also has some idioplasms for the starch RVA profile characteristic of Indica rice, the partial idioplasms have the high quality RVA profile characteristic, namely setback for the negative value, the overwhelming majority idioplasm RVA profile characteristic approx

研究结果表明,粳稻的RVA谱特征是兼具籼性与糯性RVA谱特征的连续变化体,呈5种特征类群,少量种质具有糯性淀粉RVA谱特征,即还有一些种质表现出为籼性淀粉RVA谱特征,部分种质具有优质的RVA谱特征,即消减为负值,绝大多数种质的RVA谱特征(约占样本数的85%),其曲线的显著特征为消减值在250-1000cp。籼稻的RVA谱特征的分化亦呈现为多态性,主要表现为峰值粘度、最终粘度与消减值的分异性,在籼稻种质材料中主体RVA谱类型的特征表现为消减值在1000-2000cp间。特异的分化出3种类型,第一类表现为峰值粘度与消减值均在2000cp

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